Managing and Analyzing Social Sciences Data

Author: John T. Kulas

Publisher: John Wiley & Sons

ISBN: 047022617X

Category: Computers

Page: 259

View: 3558

Written by a highly experienced researcher and teachers, this book provides a much–needed guide to the proper use of Statistical Package for the Social Sciences (SPSS) software in social research, particularly where data may not be presented in the most convenient way. The book focuses on data manipulations and covers the majority of real–world use of SPSS use. Among the book′s many unique features are its ′syntax diary′ method for organization of manipulations and analyses. Offers both novices and intermediate users a framework within which they can safely and comfortably work with SPSS.
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Integrating Theory and Practice

Author: Douglas Bors

Publisher: SAGE

ISBN: 1526422301

Category: Social Science

Page: 664

View: 3732

'This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.' —Ruth Horry, Psychology, Swansea University 'This unique text presents the conceptual underpinnings of statistics as well as the computation and application of statistics to real-life situations--a combination rarely covered in one book. A must-have for students learning statistical techniques and a go-to handbook for experienced researchers.' —Barbra Teater, Social Work, College of Staten Island, City University of New York Accessible, engaging, and informative, this book will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling through to t-tests, multiple regression and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types and results reliability. It shows you how to: Describe data with graphs, tables, and numbers Calculate probability and value distributions Test a priori and post hoc hypotheses Conduct Chi-squared tests and observational studies Structure ANOVA, ANCOVA, and factorial designs Supported by lots of visuals and a website with interactive demonstrations, author video, and practice datasets, this book is the student-focused companion to support students through their statistics journeys.
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Author: William Edward Wagner

Publisher: SAGE

ISBN: 1412991420

Category: Social Science

Page: 148

View: 3813

Ideal as a companion to a statistics or research methods text or as a stand-alone guide, Using SPSS for Social Statistics and Research Methods shows readers how to use images and directions drawn from SPSS Version 18.0 and now uses the latest version of the GSS (General Social Survey) as a secondary data set. This supplementary text is designed as a manual for SPSS use for social statistics and research methods classes and is an excellent companion to any undergraduate statistics or research methods textbook. It will also serve as a useful reference for those learning to use the SPSS software for the first time. Features and Benefits: • Offers a fully updated graphics chapter that highlights new features available in SPSS 18.0, including information on alternative routes to creating graphics • Includes updated examples, screenshots and tables throughout • Expanded coverage of output interpretation • Refers to several kinds of computer files, including data files, output files and syntax files • Covers a wide range of data analysis topics to help students who are working independently on a research proposal, project or paper.
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A Practical Introduction with Examples in SPSS and Stata

Author: Daniel Stockemer

Publisher: Springer

ISBN: 3319991183

Category: Social Science

Page: 181

View: 5185

This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.
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50 Key Problems in Data Analysis

Author: David de Vaus

Publisher: SAGE Publications Limited

ISBN: N.A

Category: Social Science

Page: 402

View: 3522

In this novel and refreshing textbook, David de Vaus directs students to the core of data analysis. The book is an authoritative guide to the problems facing beginners in the field. Analyzing Social Science Data guides students in: problems with the initial data; problems with the initial variables; how to handle too much data; how to generalize; problems of analyzing single variables; problems examining bivariate relationships; and problems examining multivariate relationships The book is a tour de force in making data analysis manageable and rewarding for today's undergraduate studying research methods. `I'm full of admiration for this book. Once again, David de Vaus has come up with a superb book that is well written and organized and which will be a boon to a wide range of students. He has taken a vast array of problems that users of quantitative data analysis procedures are likely to encounter. The selection of issues and problems ... reflects the experience of a true practitioner with a grasp of his field and of the intricacies of the research process. The selection of issues clearly derives also from experience of teaching students how to do research and analyse data....A large number of practitioners will want the book. I was surprised at how much I learned from this. This will be a vital book for the bookshelves of practitioners of the craft of quantitative data analysis' - Alan Bryman, Professor of Social Research, Loughborough University
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A Guide to Data Analysis Using SPSS

Author: Ajai S Gaur,Sanjaya S Gaur

Publisher: SAGE Publishing India

ISBN: 8132118596

Category: Business & Economics

Page: 172

View: 5224

There is a growing trend these days to use statistical methods to comprehend and explain various situations and phenomena in different disciplines. Managers, social scientists and practicing researchers are increasingly collecting information and applying scientific methods to analyze the data. The ability to use statistical methods and tools becomes a crucial skill for the success of such efforts. This book is designed to assist students, managers, academics and researchers in solving statistical problems using SPSS and to help them understand how they can apply various statistical tools for their own research problems. SPSS is a very powerful and user friendly computer package for data analyses. It can take data from most other file types and generate tables, charts, plots, and descriptive statistics, and conduct complex statistical analyses. After providing a brief overview of SPSS and basic statistical concepts, the book covers: - Descriptive statistics - t-tests, chi-square tests and ANOVA - Correlation analysis - Multiple and logistics regression - Factor analysis and testing scale reliability - Advanced data handling Illustrated with simple, practical problems, and screen shots, this book outlines the steps for solving statistical problems using SPSS. Although the illustrations are based on version 16.0 of SPSS, users of the earlier versions will find the book equally useful and relevant. Written in a reader-friendly, non-technical style, this book will serve as a companion volume to any statistics textbook.
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Author: R. Mark Sirkin

Publisher: SAGE

ISBN: 9781412905466

Category: Mathematics

Page: 610

View: 1557

Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.
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Author: Carol S. Aneshensel

Publisher: SAGE

ISBN: 1412994357

Category: Social Science

Page: 446

View: 1502

This book presents a method for bringing data analysis and statistical technique into line with theory. The author begins by describing the elaboration model for analyzing the empirical association between variables. She then introduces a new concept into this model, the focal relationship. Building upon the focal relationship as the cornerstone for all subsequent analysis, two analytic strategies are developed to establish its internal validity: an exclusionary strategy to eliminate alternative explanations, and an inclusive strategy which looks at the interconnected set of relationships predicted by theory. Using real examples of social research, the author demonstrates the use of this approach for two common forms of analysis, multiple linear regression and logistic regression. Whether learning data analysis for the first time or adding new techniques to your repertoire, this book provides an excellent basis for theory-based data analysis.
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Author: Ciaran Acton,Robert Miller,John Maltby,Ms Deirdre Fullerton

Publisher: Macmillan International Higher Education

ISBN: 1137013907

Category: Social Science

Page: 336

View: 6245

SPSS for Social Scientists 2e provides the novice researcher with a step-by-step guide to SPSS – easily the most widely used data analysis package in the social sciences. Written in a clear and non-technical style, the book gives practical guidance that gradually builds up the reader's knowledge, understanding and confidence. Beginning with an overview of quantitative research and introducing the basics of the SPSS package, the book is then split into 'modules' that explain major procedures in SPSS up to Version 17 and beyond. Each module is packed with step-by-step worked examples that provide supportive and structured advice on inputting data, creating graphical presentations and analysing results. With specific guidance on how to manage the exploration, manipulation and transformation of data, the workbook also takes the reader through key statistical techniques, from t-test and cross-tabulation analysis through multiple response analysis and data reduction to multivariate techniques such as loglinear analysis and logistic regression. This new edition is accompanied by a collection of rich and versatile datasets drawn from the International Social Survey Programme (ISSP), which offers a huge variety of international social science data from over 30 countries. Download datasets by clicking on the link 'Datasets for all nations' under 'Downloads' below and you're ready to go. Whether you're a student or a researcher looking to upgrade your skills, this accessible text brings statistical analysis with SPSS to life in a practical and meaningful way.
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Author: Alan Bryman,Duncan Cramer

Publisher: Psychology Press

ISBN: 9780415113076

Category: Social Science

Page: 294

View: 2319

Most introductions to the techniques of statistical analysis concentrate on the often complex statistical formulae involved. Many students find these formulae extremely daunting, yet in practice computers are increasingly used to perform the same calculations in seconds. Quantitative Data Analysis for Social Scientists is designed as a non-technical guide, ignoring the traditional formulaic methods and introducing students to the most widely used computer package for analysing quantitative data. This is the Statistical Package for the Social Sciences (SPSS), whose most recently released versions (for both mainframe computers and IBM-compatible personal computers) are here employed. The authors have assumed no previous familiarity with either statistics or computing, and take the reader step-by-step through each of the techniques for which SPSS can be used.
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Author: Gareth Norris,Faiza Qureshi,Dennis Howitt

Publisher: Routledge

ISBN: 9781408237595

Category: Computers

Page: 458

View: 3168

This is a complete guide to statistics and SPSS for social science students.Statistics with SPSS for Social Science provides a step-by-step explanation of all the important statistical concepts, tests and procedures.It is also a guide to getting started with SPSS, and includes screenshots to illustrate explanations.With examples specific to social sciences, this text is essential for any student in this area.
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Scenario-Based Examples Using SPSS

Author: Carol S. Parke

Publisher: SAGE

ISBN: 1412997518

Category: Computers

Page: 265

View: 1802

Carol S. Parke's Essential First Steps to Data Analysis: Scenario-Based Examples Using SPSS provides instruction and guidance on preparing quantitative data sets prior to answering a study's research questions. Such preparation may involve data management and manipulation tasks, data organization, structural changes to the data files, or conducting preliminary analysis. Twelve research-based scenarios are used to present the content. Each scenario tells the "story" of a researcher who thoroughly examined their data and the decisions they made along the way. The scenario begins with a description of the researcher's study and his/her data file(s), then describes the issues the researcher must address, explains why they are important, shows how SPSS was used to address the issues and prepare data, and shares the researcher's reflections and any additional decision-making. Finally, each scenario ends with the researcher's written summary of the procedures and outcomes from the initial data preparation or analysis.
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A Guide for Social Scientists

Author: Alan Bryman,Professor of Organizational and Social Research Alan Bryman,Duncan Cramer

Publisher: Routledge

ISBN: 1134327153

Category: Psychology

Page: 368

View: 1601

This new edition has been completely updated to accommodate the needs of users of SPSS Release 12 and 13 for Windows, whilst still being applicable to those using SPSS Release 11 and 10. Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS. No previous familiarity with computing or statistics is required to benefit from this step-by-step guide to techniques including: Non-parametric tests Correlation Simple and multiple regression Multivarate analysis of variance and covariance Factor analysis The authors discuss key issues facing the newcomer to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter contains worked examples to illustrate the points raised and ends with a comprehensive range of exercises which allow the reader to test their understanding of the topic. This new edition of this hugely successful textbook will guide the reader through the basics of quantitative data analysis and become an essential reference tool for both students and researchers in the social sciences. The datasets used in Quantitative Data Analysis for SPSS Release 12 and 13 are available online at www.psypress.com/brymancramer/ .
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Author: William E. Wagner, III

Publisher: SAGE Publications

ISBN: 1483351270

Category: Social Science

Page: 168

View: 7509

Now in its Fifth Edition, William Wagner’s Using SPSS for Social Statistics and Research Methods has come to be trusted as a reliable and student-friendly resource for those learning to use the SPSS software for the first time. Ideal as a companion to a statistics or research methods text or as a stand-alone guide, this supplementary text shows readers how to use images and directions drawn from SPSS Version 22.0 and now uses the latest version of the GSS (General Social Survey) as a secondary data set. It is designed as an ideal manual for SPSS use for social statistics and research methods classes.
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With a Complete SPSS Guide

Author: Soleman H. Abu-Bader

Publisher: Oxford University Press

ISBN: 0190615222

Category: Social Science

Page: 394

View: 4666

In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only guides social scientists through different tests, but also provides students and researchers alike with information that will help them in their own practice. With focus on the purpose, rationale, and assumptions made by each statistical test, and a plethora of research examples that clearly display their applicability and function in real-world practice, Professor Abu-Bader creates a step-by-step description of the process needed to clearly organize, choose a test or statistical technique, analyze, interpret, and report research findings.
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A Graphical Approach

Author: Bruce L. Brown,Suzanne B. Hendrix,Dawson W. Hedges,Timothy B. Smith

Publisher: John Wiley & Sons

ISBN: 1118131614

Category: Mathematics

Page: 496

View: 2628

An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers. The authors promote the importance of clear, well-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods . The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore fundamental multivariate methods and related key concepts, including: Factor analysis and related methods Multivariate graphics Canonical correlation Hotelling's T-squared Multivariate analysis of variance (MANOVA) Multiple regression and the general linear model (GLM) Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question "how do you do that?" is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata®, SAS®, and SPSS®. The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages. Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications.
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Author: Chava Frankfort-Nachmias,Anna Leon-Guerrero

Publisher: Pine Forge Press

ISBN: 1412992532

Category: Mathematics

Page: 574

View: 2407

The new edition of this bestselling text continues to emphasize intuition and common sense, while demonstrating the link between the practice of statistics and important social issues. The authors help students learn key sociological concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables.
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A Guide for Social Scientists

Author: Alan Bryman,Duncan Cramer

Publisher: Routledge

ISBN: 9780415340809

Category: Mathematics

Page: 367

View: 6940

This text provides a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS. It takes the reader step-by-step through the techniques, reinforced by exercises.
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Author: David A. Kenny,Deborah A. Kashy,William L. Cook

Publisher: Guilford Press

ISBN: 1572309865

Category: Social Science

Page: 458

View: 789

The first book on the subject, this unique resource is comprehensive and authoritative. The authors' approach has wide applications for analyzing data related to couples, siblings, friends, coworkers, parent-child, doctor-patient pairs, and more. They compare and contrast different quantitative methods and evaluate their suitability for diverse situations.
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